(Processing Systems Lab)

Nov 10, 2017

Sung's paper on memory adaptive machine learning accelerators will be
presented at the upcoming Design Automation and Test in Europe (DATE).
The work exploits observations in both memory cell design and
back-propagation to allow significant voltage-overscaling of SRAMs to
reduce energy dissipation with marginal impact on accuracy. The
work allows the system to reliably operate well
below the SRAM Vmin, making the system "learn" around the kinds of
hardware faults caused by memory supply overscaling.